About Program

The Executive Program in Quantitative Finance and Risk Mitigation program is designed to provide participants with a comprehensive understanding of financial markets, quantitative analysis techniques, and risk management strategies. The program covers a range of topics, including financial statistics, financial derivatives, quantitative analysis, risk measurement, financial modeling, financial markets, instruments, and regulatory frameworks. Through a combination of theoretical knowledge and practical applications, participants honing the skills needed for quantification of the uncertainties, assess, and manage financial risks effectively in various sectors.

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Participants Will

The primary objective of the Executive Program in Quantitative Finance and Risk Mitigation is to equip participants with the knowledge and skills necessary to excel in the field of quantitative finance and risk management.

The program aims to achieve the following objectives:
  • Gain a solid understanding of mathematical concepts and techniques used in finance, enabling them to analyze and solve complex financial problems.

  • Develop skills in building and implementing quantitative models to evaluate financial instruments and investment strategies. They will learn programming languages and tools used for financial modeling and simulation.

  • Acquire knowledge about different types of financial risks and learn how to measure, monitor, and mitigate them effectively. They will explore risk management strategies and the use of financial derivatives for hedging purposes.
  • Learn how to apply statistical and mathematical models to financial data, enabling them to make informed investment decisions and evaluate risk.

  • Gain insights into various financial markets and instruments, including stocks, bonds, options, futures, and foreign exchange. They will understand the characteristics of these instruments and their pricing mechanisms.

  • Learn about the regulatory frameworks governing financial institutions and the impact of regulations on risk management practices. They will gain knowledge of key regulations and compliance requirements.

By the end of the program, participants should be well-equipped to analyze financial data, assess risks, and make informed decisions in the field of quantitative finance and risk mitigation. The program aims to prepare individuals for careers in banking, investment management, insurance, and corporate finance, where quantitative skills and risk management expertise are highly valued.

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Pedagogy

Executive Program in Quantitative Finance and Risk Mitigation is an online program that comprises a series of Online lectures, discussions, quizzes, assignments, projects, and online assessments. Our teaching and learning model encompasses the following:

Collaborative learning approach

Eminent faculty

Application-based pedagogy

Blended technology-enabled
education

Lectures and guest sessions by industry experts

Experiential learning through practical & hands-on training


Who Should Attend

Finance and Banking Professionals
Those who aspire to grow into advanced analytical roles in Quant analytics, Derivative Pricing and Valuation, Model Validation, Treasury, Financial Risk Management, Compliance, Risk Consulting etc.
IT Professionals
Those who aspire to work in International Banks, Hedge Funds and other leading Financial Institutions in Quant Analytics or Financial Risk Management domains or wanting to lead projects in IT companies for the above-mentioned domains.
Risk Management and Consulting Professionals
Those who aspire to grow into senior roles by gaining a deeper wholesome knowledge in this fields particularly in the area of quantitative risk management.
Students
Students from Engineering, Mathematics, Statistics, Economics, Finance, Commerce etc. background who aspires to work in International Banks, Hedge Funds, Consulting firms etc. in advanced analytical roles in Quant analytics, Derivative Pricing and Valuation, Model Validation, Treasury, Financial Risk Management, Compliance, Risk Consulting etc.
Quantitative Analysis & Risk Management

Course Structure

Introduction Module

  • Introduction to Programming in R
  • Introduction to Programming in Python

Introduction Module

  • Introduction to Programming in R
  • Introduction to Programming in Python

Module 1

Introduction

of Finance

  • Financial Markets and Products
  • Financial Economics
  • Fundamentals of Fixed Income Instruments
  • Derivatives Products and Strategies
  • Financial Institutions
Module 2

Introduction

to Financial Mathematics

  • Basics of Linear Algebra and Calculus for Financial Markets
Module 3

Introduction

Probability & Statistics

  • Probability Theory
  • Probability Distributions
  • Descriptive and Inferential Statistics
Module 4

Machine Learning for Quantitative Finance

  • Introduction to Machine Learning
  • Supervised Learning
  • Regression Model
  • Time Series Models
  • Volatility Forecasting
  • Unsupervised Learning

Module 5

Stochastic Processes

  • Basic Stochastic Processes for Derivatives and Option Pricing
Module 6

Financial
Modelling

  • Model building
  • Construction of financial statements
  • Working capital management
  • NPV and IRR
  • XIRR and MIRR functions
  • Computation of WACC using CAPM approach
  • Computation of FCFF and FCFE
Module 7

Derivative Valuations

  • Implementing Equity Options Pricing
  • Implementing Currency Derivatives Pricing
  • Implementing Interest Rate Derivatives Pricing
Module 8

Risk
Mitigation

  • Introduction to Financial Risk Management
  • Market Risk Management
  • Credit Risk Management
  • Operational Risk Management
  • Liquidity Risk Management
  • Investment Portfolio Management

Program Directrors

Dr Kiran Kumar Paidipati

Dr Kiran Kumar Paidipati

Dr Kiran Kumar Paidipati is working as an Assistant Professor in the Area of Decision Sciences at IIM Sirmaur. Prior to this, he served as an Assistant Professor in the Department of Statistics, Lady Shri Ram College for Women, University of Delhi , New Delhi. He also worked as a UGC Post-Doctoral Fellow in the Department of Statistics, Pondicherry University , Puducherry. As an academician, he had more than four years of teaching and research experience.

Dr Paidipati completed his Ph.D. in Statistics from Pondicherry University in 2016 and M. Sc. Statistics from Sri Venkateswara University, Tirupati. His research areas include Stochastic Modeling, Operations Research , and Data Science . He is now working for the proposed international collaborations with France and the BRICS countries. He has taught Business Statistics, Probability Theory, Quantitative Analysis for Management, Financial Statistics, Programming in R and Advanced Analytics for graduate, post graduate and practitioners.


Dr Manish Sarkhel

Dr Manish Sarkhel is working as an Assistant Professor in the Area of Operations and Supply Chain Management at IIM Sirmaur. Prior to this, he has worked as an Assistant Professor at Xavier Institute of Management, Bhubaneswar (XIMB), T.A. Pai Institute of Management (TAPMI) & Woxsen University, Hyderabad. He has also been a visiting professor at IIM Amritsar & XIMB.

Dr Manish Sarkhel has completed his Ph.D from IIM Indore. He has taught subjects such as Modelling with Spreadsheets, Project Management, Python Programming, Artificial Intelligence Using Python, Data Analytics Using Python & R, Financial Analytics Using Python, Excel, and Visual Analytics Using Tableau & Power BI. His research interests lie at the interface of Financial Market Interlinkages, Artificial Intelligence, Non-linear Programming and Networks.

Dr Manish Sarkhel - IIM Sirmaur

Dr P. Sanjay

Dr P. Sanjay

Dr P. Sanjay is working as an Assistant Professor in the Area of Finance and Accounting at IIM Sirmaur. Prior to joining academia, Dr. P. Sanjay has worked for companies and academic institutions in India, UK, USA and Japan in various capacities including up to the role of Chief Financial Officer (CFO).

He holds a Ph.D. degree in Finance and an M.Phil from London Business School and is an alumnus of London School of Economics and Political Science. He has done his MBA from University of Hawaii as an Asian Development Bank Fellow and completed his JMP from JAIMS (Japan). In addition, he is a qualified CA, CS, Management (Cost) Accountant and a Lawyer. His research and teaching interest lie in Financial Management, Mergers and Acquisitions, Valuation, Corporate Governance, Financial Accounting, Management Accounting and Spirituality and Management. He has presented his research work in conferences both Nationally and Internationally. He has done financial analysis for research work published in Harvard Business Review.


Fee with Flexible Payment Options

TOTAL FEE- INR 80,000 plus GST, as applicable ( Fee paid is non-refundable and non-transferable )
Details Amount GST 18% Total
Registration Fee INR 10,000/- INR 1,800/- INR 11,800/-
Program Fee INR 70,000/- INR 12,600/- INR 82,600/-
Total Program Fee INR 80,000/- INR 14,400/- INR 94,400/-

GST (as applicable)

About IIM Sirmaur

Institute of Management Sirmaur (IIM Sirmaur) is a Centrally Funded Institution of National Importance set up by the Government of India in 2015. IIM Sirmaur is one of the newer institutions of the IIM family in the country. As a premier institution, under aegis of Ministry of Education, GoI, it aims to provide Management Education of high quality and promotes allied areas of knowledge and inter-disciplinary studies.


Institute strives for the seamless integration of management education with local and global aspirations in an enabling environment. It supports that management education is not just about seeking the most competitive employment opportunities, but also about learning to serve socio-economic concerns through ethical and visionary corporate leadership. It strives to focus on indigenous areas and innovative practices, to develop sensitive corporate leaders and entrepreneurs of tomorrow.

IIM Sirmaur


About NSE Academy

National Stock Exchange, BKC

NSE Academy Ltd. is a wholly owned subsidiary of the National Stock Exchange of India Ltd. (NSEIL). NSE Academy enables the next generation of BFSI and FinTech professionals with industry-aligned skills through capacity building programs and certification courses, powered by an online examination and certification system. The courses are well-researched and carefully crafted with inputs from the industry professional. NSE Academy works closely with reputed universities and institutions across India inbuilding a competent workforce for the future of BFSI and FinTech. NSE Academy also promotes financial literacy as an essential life skill among youngsters - a contribution towards financial inclusion and wellbeing.



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